Not All Agents Are Built Equal — Why Posture Management Must Evolve for Non-Deterministic Risk

The agent landscape isn't one thing. Pro-code agents behave like traditional apps — deterministic, scoped, predictable. But low-code and local agents are different: their risk profile only materializes at runtime, when someone assigns a task and the agent decides which tools to pick and what data to pull. That's what makes Agentic SPM different from traditional AI-SPM. AI-SPM tells you what's deployed. Agentic SPM tells you what's actually happening when these agents run. Runtime threat protection catches the SANDWORM_MODE-style attacks in the act — then feeds that signal back to posture, reducing risk across every connected agent in the org. Three layers: AI-SPM, Agentic SPM, runtime protection. Not a replacement — an evolution.